Triple

T20160886
Position Surface form Disambiguated ID Type / Status
Subject Mona Lisa Smile E491698 entity
Predicate castMember P1668 FINISHED
Object Topher Grace NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Topher Grace | Statement: [Mona Lisa Smile, castMember, Topher Grace]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Topher Grace
Context triple: [Mona Lisa Smile, castMember, Topher Grace]
  • A. Topher Grace chosen
    Topher Grace is an American actor best known for starring as Eric Forman on the sitcom "That '70s Show" and for roles in films such as "Spider-Man 3" and "Traffic."
  • B. Kyle McAvoy
    Kyle McAvoy is the young, idealistic law student protagonist of John Grisham’s legal thriller "The Associate," who becomes entangled in a high-stakes blackmail scheme.
  • C. Jeremy King
    Jeremy King is a prominent British restaurateur best known for co-founding some of London’s most iconic grand cafés and restaurants, including The Wolseley.
  • D. Wes Bentley
    Wes Bentley is an American actor known for his breakout role in "American Beauty" and appearances in films like "The Hunger Games" and "Interstellar."
  • E. Justin Henry
    Justin Henry is an American former child actor best known for his Oscar-nominated role as Billy Kramer in the film "Kramer vs. Kramer."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69da6266c6888190bc1a3ecf24814d34 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e667e43940819080f6a0b7331aaab0 completed April 20, 2026, 5:52 p.m.
Created at: April 11, 2026, 11:34 p.m.